Angiotensin-Converting Enzyme Inhibition as an Adjunct to Pulmonary Rehabilitation: A Randomised Controlled Trial ONLINE DATA SUPPLEMENT Katrina J Curtis, Victoria M Meyrick, Bhavin Mehta, Gulam S Haji, Kawah Li, Hugh Montgomery, William D-C Man, Michael I Polkey, Nicholas S Hopkinson METHODS Blood pressure, anthropometrics and fat free mass measurements Blood pressure was measured using an automated blood pressure monitor (Omron M6, Omron Healthcare Europe, Hoofddorp, Netherlands). Measurement was made in the seated position with the subject s arm supported. A mean of three measurements was recorded. Height (cm) without shoes was measured using a wall mounted measure, and weight (kg) measured using standardised scales. Fat free mass (FFM) was determined using bioelectrical impedance analysis by measuring the electrical resistance between the wrist and ankle using a Bodystat 4000 device (Bodystat, Isle of Man, UK). Subjects lay supine for 10 minutes prior to measurement. Electrodes were placed on the dominant hand and foot, at 2cm proximal to the carpometacarpal joint and the ulnar level of the wrist on the dorsal aspect of the hand, and at 2cm proximal to the carpometatarsal joint and level of the malleoli of the ankle respectively. The value obtained is dependent on body water content and based on this FFM can be calculated using a disease specific regression equation[1]. Fat Free Mass Index (FFMI) was calculated by dividing FFM by height in metres squared (kg/m 2 ). Individuals with
a FFMI below 16 kg/m 2 in males and 15 kg/m 2 in females were considered to have evidence of FFM depletion[1]. ACE genotyping Saliva samples were collected using ORAgene DNA self-collection kits (DNA genotek, Ottawa, Canada), and the buccal cells present extracted to obtain DNA. ACE genotyping was conducted by the Department of Cardiovascular Genetics, Rayne Institute, University College London via a polymerase chain reaction (PCR) with amplification using a 3-primer method which included an I-specific oligonucleotide[2]. Two independent staff verified the genotype obtained, and replica PCRs were set up without the I-specific primer (ACE2) to confirm the presence of the D allele. Any discrepancies were settled by repeat genotyping. Serum ACE measurement Serum ACE was measured using an enzyme assay and spectrophotometric method (Beckman-Coulter, California, USA) performed by the Pathology Department, Royal Brompton and Harefield NHS Foundation Trust[3]. Calibration was provided by test solutions of known ACE concentration to provide an indicator of ACE activity. Physical activity measurement Patients were asked to wear a physical activity monitor (SenseWear Pro Armband, Bodymedia, Pittsburg, USA) continually for a week that incorporates a triaxial accelerometer and energy expenditure measurements[4]. The armband was placed over the body of the triceps muscle of the right arm and the subject asked to wear it continuously for a week except when bathing. Data was analysed over a period of 5 days including 2 weekend days. Average daily step count and physical activity were analysed from the collected data using Sensewear investigational software (Sensewear Professional version 7.0, Pittsburgh, USA). E2
Measures of total energy expenditure (TEE) and sleep energy expenditure, a marker of resting energy expenditure (REE), were used to calculate the physical activity level (PAL) [PAL=TEE/REE]. Quadriceps strength Maximum isometric quadriceps force (QMVC) was measured using the technique of Edwards et al.[5] Prior to each measurement calibration was performed using a standardised weight. Subjects were seated with the leg flexed at an angle of 90 relative to the edge of the couch. The right leg was tested unless it was not feasible to do so. An inextensible strap was placed around the subject s ankle and connected to a strain gauge. The maximum force generated and sustained for at least 1 second during at least five contractions with vigorous encouragement was measured (recorded in kg). A minimum of 30 seconds was allowed between each effort. Output from the strain gauge was processed as a digital output by a Powerlab recording unit and analysed using LabChart software (AD Instruments, Oxfordshire, UK) sampling at 10kHz. The percentage predicted QMVC was determined according to regression equations based on age, gender and FFM[5 6]. Pulmonary function testing Measurements were made in the lung function department of the Royal Brompton Hospital according to international guidelines and with rigorous quality assurance in place with a Jaeger master lab system (CompactLab system, Jaeger, Wurzburg, Germany). Spirometry, gas transfer and plethysmographic lung volumes were also measured in accordance with European Respiratory Society (ERS)/ American Thoracic Society (ATS) guidelines[7-9]. Standardised lung function testing reference equations were based on the European Coal E3
and Steel Community (ECSC) reference values[10]. Arteriolised capillary blood gas samples were taken at rest. Health-related quality of life measures Subjects completed the St George Respiratory Questionnaire for COPD patients (SGRQ-C) and the COPD Assessment Test (CAT). Each is validated in assessing health-related quality of life in COPD[11 12]. Mid-thigh cross-sectional computed tomography A computed tomography (CT) scan of the upper legs midway between the pubic symphysis and inferior condyle of the femur was performed using a 64-slice CT scanner (Siemens SOMATOM Sensation 64, Erlangen, Germany) with the subject in the supine position. The cross-sectional area of the musculature of the leg at the mid-thigh level and quadriceps was mapped using standard window settings for visualisation of soft tissues using Impax software (Impax 6.3, Agfa Healthcare, Greenville, United States of America). Measurements were taken from the ipsilateral side as that from which strength measurements were recorded. Cycle ergometry testing A symptom limited incremental exercise test was performed at baseline on a bicycle ergometer (Ergoselect 100, Ergoline, Bitz, Germany) with metabolic measurements collected using a mouthpiece (Masterscreen CPX metabolic cart, CareFusion, Basingstoke, UK) and analysed using JLAB software (JLAB Lab Manager version 5.32, Jaeger, CareFusion, Basingstoke, UK). Following a 2 minute rest period and 1 minute free cycling workload increased by 5 Watts every 30 seconds with subjects being asked to maintain a speed of 60-70 revolutions per minute. Measurements were taken of peak workload, pulmonary oxygen E4
uptake (VO 2 ), pulmonary carbon dioxide production (VCO 2 ), minute ventilation (VE), respiratory rate (BF) and tidal volume (V T ). Peak workload was defined as the greatest workload that the subject was able to maintain for a 30 second period. Breath-by-breath data was obtained and rolling 8-breath averages were used in the analysis. Measurement was made of the oxygen uptake efficiency slope (OUES), which describes the relationship between oxygen uptake (VO 2, ml/min) and the logarithm of total ventilation (VE, L/min) during exercise [VO 2 = a log 10 VE + b], the slope of this linear relationship (a) representing the OUES. The slope was calculated from the initiation of loaded cycling up to the ventilatory compensation point. The OUES provides a useful integrated index of cardiovascular, pulmonary and skeletal muscle functional reserve[13], a steeper slope representing more efficient oxygen uptake and a shallower slope indicating greater ventilation being required for any given oxygen uptake. The OUES has been shown to be more reproducible than other measures such as VO 2peak, being reliable even if the subject has exercised with submaximal effort[14]. The slope of minute ventilation (VE) to pulmonary carbon dioxide (VCO 2 ) production was recorded as a measure of ventilatory efficiency. Linear regression was performed of the relationship from the initiation of loaded cycling up to the ventilatory compensation point, or to peak exercise in those individuals that did not meet this, and the slope visually analysed to ensure it was linear. E5
REFERENCES 1. Steiner MC, Barton RL, Singh SJ, Morgan MD. Bedside methods versus dual energy X-ray absorptiometry for body composition measurement in COPD. The European respiratory journal : official journal of the European Society for Clinical Respiratory Physiology 2002;19(4):626-31 2. O'Dell SD, Humphries SE, Day IN. Rapid methods for population-scale analysis for gene polymorphisms: the ACE gene as an example. British heart journal 1995;73(4):368-71 3. Maguire GA, Price CP. A continuous monitoring spectrophotometric method for the measurement of angiotensin-converting enzyme in human serum. Annals of clinical biochemistry 1985;22 ( Pt 2):204-10 4. Hill K, Dolmage TE, Woon L, Goldstein R, Brooks D. Measurement properties of the SenseWear armband in adults with chronic obstructive pulmonary disease. Thorax 2010;65(6):486-91 doi: 10.1136/thx.2009.128702[published Online First: Epub Date]. 5. Edwards RH, Young A, Hosking GP, Jones DA. Human skeletal muscle function: description of tests and normal values. Clinical science and molecular medicine 1977;52(3):283-90 6. Seymour JM, Ward K, Sidhu PS, et al. Ultrasound measurement of rectus femoris cross-sectional area and the relationship with quadriceps strength in COPD. Thorax 2009;64(5):418-23 doi: 10.1136/thx.2008.103986[published Online First: Epub Date]. 7. Miller MR, Hankinson J, Brusasco V, et al. Standardisation of spirometry. The European respiratory journal : official journal of the European Society for Clinical Respiratory Physiology 2005;26(2):319-38 doi: 10.1183/09031936.05.00034805[published Online First: Epub Date]. 8. Macintyre N, Crapo RO, Viegi G, et al. Standardisation of the single-breath determination of carbon monoxide uptake in the lung. The European respiratory journal : official journal of the European Society for Clinical Respiratory Physiology 2005;26(4):720-35 doi: 10.1183/09031936.05.00034905[published Online First: Epub Date]. E6
9. Wanger J, Clausen JL, Coates A, et al. Standardisation of the measurement of lung volumes. The European respiratory journal : official journal of the European Society for Clinical Respiratory Physiology 2005;26(3):511-22 doi: 10.1183/09031936.05.00035005[published Online First: Epub Date]. 10. Gibson GJ. Standardised lung function testing. The European respiratory journal : official journal of the European Society for Clinical Respiratory Physiology 1993;6(2):155-7 11. Meguro M, Barley EA, Spencer S, Jones PW. Development and Validation of an Improved, COPD- Specific Version of the St. George Respiratory Questionnaire. Chest 2007;132(2):456-63 doi: 10.1378/chest.06-0702[published Online First: Epub Date]. 12.Jones PW, Harding G, Berry P, Wiklund I, Chen WH, Kline Leidy N. Development and first validation of the COPD Assessment Test. The European respiratory journal : official journal of the European Society for Clinical Respiratory Physiology 2009;34(3):648-54 doi: 10.1183/09031936.00102509[published Online First: Epub Date]. 13.Baba R, Nagashima M, Goto M, et al. Oxygen uptake efficiency slope: a new index of cardiorespiratory functional reserve derived from the relation between oxygen uptake and minute ventilation during incremental exercise. Journal of the American College of Cardiology 1996;28(6):1567-72 14. Hollenberg M, Tager IB. Oxygen uptake efficiency slope: an index of exercise performance and cardiopulmonary reserve requiring only submaximal exercise. Journal of the American College of Cardiology 2000;36(1):194-201 E7